Showing 11 open source projects for "framework-arduinoststm32"

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  • 1
    GNSS-SDR

    GNSS-SDR

    An open source software-defined GNSS receiver

    An open source software-defined Global Navigation Satellite Systems (GNSS) receiver written in C++ and based on the GNU Radio framework.
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    Downloads: 1,389 This Week
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  • 2
    RefineNet

    RefineNet

    RefineNet: Multi-Path Refinement Networks

    RefineNet is a MATLAB-based framework for semantic image segmentation and general dense prediction tasks. It implements the architecture presented in the CVPR 2017 paper RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation and its extended version published in TPAMI 2019. The framework uses multi-path refinement and improved residual pooling to achieve high-quality segmentation results across multiple benchmark datasets.
    Downloads: 1 This Week
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  • 3
    SFD

    SFD

    S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017

    ...The project builds upon the SSD framework in Caffe, with modifications tailored for face detection tasks. It includes training scripts, evaluation code, and pre-trained models that achieve strong results on popular benchmarks such as AFW, PASCAL Face, FDDB, and WIDER FACE. The framework is optimized for speed and accuracy, making it suitable for both academic research and practical applications in computer vision.
    Downloads: 1 This Week
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  • 4
    A framework to run MATLAB programs as batch jobs. Features a structured input description, integrity constraints and GUI.Independent parts of a job can execute in parallel on a cluster computer. Developed at Freiburg Brain Imaging (FBI) - http://fbi.uniklinik-freiburg.de/
    Downloads: 0 This Week
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  • 5
    CoRoPa stands for Computational Rough Paths. The aim of CoRoPa is to provide a software framework for various ideas related to Rough Path Theory, including rough differential equations and the digital description of serial data streams.
    Downloads: 3 This Week
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  • 6
    mlUnit

    mlUnit

    MATLAB unit test framework

    ...slUnit is a unit testing framework for Simulink, but not maintained any more.
    Downloads: 0 This Week
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  • 7
    ECOC PAK is a C++ Library for the Error Correcting Output Codes classification framework. It supports several coding and decoding strategies as well as several classifiers.
    Downloads: 0 This Week
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  • 8
    BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.
    Downloads: 0 This Week
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  • 9
    ACADO Toolkit

    ACADO Toolkit

    Toolkit for Automatic Control and Dynamic Optimization

    ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented as self-contained C++ code and comes along with user-friendly MATLAB interface. The object-oriented design allows for convenient coupling of existing optimization packages and for extending it with user-written optimization routines.
    Downloads: 0 This Week
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  • 10

    Speedy Composer

    Speedy Composer – Artificial Neural Network Melody Composer.

    ...Speedy Composer is an automated application for composing melodies for Speedy Net members. We recently made changes to the source code of Speedy Net, and converted it into the Python language and Django framework. Since Speedy Composer was originally written in PHP, it is not adapted to work with Speedy Net in its current form. So unfortunately we were forced to temporarily close the app Speedy Composer. But don't worry, we kept backups of all the tunes composed by Speedy Composer, and when the website is reopened we will upload them to the new site. ...
    Downloads: 1 This Week
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  • 11
    The project goal is to develop several IP cores that would implement artificial neural networks using FPGA resources. These cores will be designed in such a way to allow easy integration in the Xilinx EDK framework.
    Downloads: 0 This Week
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